Triple
T20009169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valleraugue |
E494540
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Mont Aigoual |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mont Aigoual | Statement: [Valleraugue, locatedNear, Mont Aigoual]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont Aigoual Context triple: [Valleraugue, locatedNear, Mont Aigoual]
-
A.
Mont Aigoual
chosen
Mont Aigoual is a prominent peak in the Cévennes range of southern France, known for its panoramic views and historic meteorological observatory.
-
B.
Mont Panié
Mont Panié is the highest mountain in New Caledonia, known for its rich biodiversity and dense rainforest ecosystems.
-
C.
Pic Saint-Loup peak
Pic Saint-Loup peak is a prominent limestone mountain in southern France, renowned for its dramatic profile and as a landmark of the Languedoc wine region.
-
D.
Mont Tendre
Mont Tendre is the highest peak of the Swiss Jura, known for its gentle pastures, panoramic views over Lake Geneva and the Alps, and popular hiking routes.
-
E.
Mont Blanc du Tacul
Mont Blanc du Tacul is a prominent 4,248-meter peak in the Mont Blanc massif of the French Alps, popular with mountaineers as part of the classic route to Mont Blanc.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a81c5881909692fcaaf59a57c9 |
completed | April 20, 2026, 5:26 p.m. |
Created at: April 11, 2026, 3:33 p.m.